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秦飞巍 副教授

硕士生导师

计算机科学与技术

人工智能,机器学习,图形和图像处理以及计算机辅助设计

qinfeiwei@hdu.edu.cn
杭州电子科技大学下沙校区
  • 秦飞巍,博士,副教授,硕士生导师,中国计算机学会、电子学会会员,2014年毕业于浙江大学计算机学院CAD&CG国家重点实验室。主要研究方向为人工智能、机器学习、图形图像处理、计算机辅助设计等。

         已在相关领域发表SCI/EI检索论文30多篇,其中Top期刊5篇,国际会议最佳论文2篇。申请发明专利6项。担任i3CDE国际会议程序委员会委员,IEEE Transactions on Industrial Informatics / IEEE Transactions on Automation Science and Engineering / Advanced Engineering Informatics /Neural Processing Letters / IEEE Transactions on Medical Imaging / IEEE Journal of Biomedical and Health Informatics / Computer Methods and Programs in Biomedicine / Artificial Intelligence in Medicine / Journal of Visual Languages and Computing / Frontiers of Information Technology & Electronic Engineering 等国际期刊审稿人。

         现主持国家自然科学基金面上项目一项,浙江省认知医疗工程技术研究中心开放课题一项。主持完成国家自然科学基金青年项目一项,浙江省自然科学基金青年项目一项,CAD&CG国家重点实验室开放课题一项,浙江省教育科学规划研究课题一项,作为主要成员参与国家自然科学基金项目五项,浙江省重点研发计划项目两项,浙江省公益技术应用研究计划项目一项。

         认真教学,近三年教学业绩考核连续为A级,校大学生课外学术科技作品竞赛优秀指导教师,指导学生获得国家级、省级奖多项。 

        联系方式:qinfeiwei@hdu.edu.cn

  • 1. Feiwei Qin(#)(*), Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin, Fine-grained leukocyte classification with deep residual learning for microscopic images, Computer Methods and Programs in Biomedicine, 2018, 162(8): 243-252

    2. Feiwei Qin(#), Shuming Gao(*), XiaolingYang, Ming Li, Jing Bai, An ontology-based semantic retrieval approach for heterogeneous 3D CAD models, Advanced Engineering Informatics, 2016, 30(4): 751-768

    3. Feiwei Qin(#)(*), Haibin Xia, Yong Peng, Zizhao Wu. IIntegrated modeling, smulation, and visualization for nanomaterials, Complexity, 2018, 2018(1): 1-17

    4. Feiwei Qin(#)(*), Bai Jing, Wenqiang Yuan, Research on intelligent fault diagnosis of mechanical equipment based on sparse deep neural networks, Journal of Vibroengineering, 2017, 19(4): 2439-2455

    5. Feiwei Qin(#), Shuming Gao(*), Xiaoling Yang, Jing Bai, Quhong Zhao, A sketch-based semantic retrieval approach for 3D CAD models. Applied Mathematics-A Journal of Chinese Universities, 2017, 32(1): 27-52

    6. Feiwei Qin(#), Luye Li, Shuming Gao(*), Xiaoling Yang, Xiang Chen, A deep learning approach to the classification of 3D CAD models, Journal of Zhejiang University SCIENCE C, 2014, 15(2): 91-106

    7. Feiwei Qin(#), Hairui Xu, Weicheng Zhang, Lin Yuan, Ming Li(*), Yusheng Liu, Ying Liu, Yong Chen, Voice of the customer oriented new product synthesis over knowledge graphs, International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (ASME), 2018

    8. Yong Peng(#)(*), Wanzeng Kong, Feiwei Qin, Feiping Nie, Manifold adaptive kernelized low-rank representation for semi-supervised image classification, Complexity, 2018, 2018(1): 1-11

    9. Shuying Shen(#), Kangmao Huang, Yizheng Wu, Yan Ma, Jiying Wang, Feiwei Qin, Jianjun Ma(*), A miR-135b-TAZ positive feedback loop promotes epithelial–mesenchymal transition (EMT) and tumorigenesis in osteosarcoma, Cancer Letters, 2017, 407: 32-44

    10. Jing Bai(#)(*), Haonan Luo, Feiwei Qin, Design pattern modeling and extraction for CAD models, Advances in Engineering Software, 2016, 93: 30-43

    11. Luye Li(#), Feiwei Qin, Shuming Gao(*), Ying Liu, An approach for design rationale retrieval using ontology-aided indexing, Journal of Engineering Design, 2014, 25(7-9): 259-279

    12. Zizhao Wu(#)(*), Yunhui Zhang, Ming Zeng, Feiwei Qin, Yigang Wang, Joint analysis of shapes and images via deep domain adaptation, Computers & Graphics, 2018, 70: 140-147

    13. Ming Jiang(#)(*), Liu Cheng, Feiwei Qin, Lian Du, Min Zhang. White blood cells classification with deep convolutional neural networks, International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32(09): 1857006

    14. Hong Zeng(#), Chen Yang, Guojun Dai, Feiwei Qin, Jianhai Zhang, Wanzeng Kong(*), EEG classification of driver mental states by deep learning, Cognitive Neurodynamics, 2018, 12(6): 597-606

    15. Yong Peng(#)(*), Rixing Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie,. Parallel vector field regularized non-negative matrix factorization for image representation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018

    16. Zizhao Wu(#), Feiwei Qin, Shi Li, and Yigang Wang(*), A motion-driven system for performing art. International Conference on E-learning and Games (Edutainment), 2018

    17. Zhihui Chen, Huayou Si, Feiwei Qin, Jian Wan, An approach to member recognition for specific organizations based on user interaction on twitter, IEEE International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2017

    18. Ming Jiang(#)(*), Liqiang Jin, Feiwei Qin, Min Zhang, Ziyang Li, Network public comments sentiment analysis based on multilayer convolutional neural network, IEEE International Conference on Internet of Things and Smart Data, 2016

    19. Zizhao Wu, Ming Zeng, Feiwei Qin, Yigang Wang, Jiří Kosinka, Active 3D shape co-segmentation with graph convolutional networks, IEEE Computer Graphics and Applications, 2019, 39(2): 77-88

    20. Yong Peng(#)(*), Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki, Flexible non-negative matrix factorization with adaptive learned graph regularization, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019

    21. Zite Jiang(#), Feiwei Qin, Liaoying Zhao(*), A phoneme sequence driven lightweight end-to-end speech synthesis approach, Journal of Physics: Conference Series, 2019, 1267(1): 012052

    22. Hairui Xu(#), Weicheng Zhang, Ming Li(*), Feiwei Qin, Generating quantitative product profile using char-word CNNs, Applied Mathematics-A Journal of Chinese Universities, 2019, 34(3): 356-378

    23. Qinghao Ye(#), Daijian Tu, Feiwei Qin(*), Zizhao Wu, Yong Peng, Shuying Shen, Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images, Journal of Intelligent & Fuzzy Systems, 2019, 37(5): 6971-6982

    24. Yong Peng(#)(*), Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Joint low-rank representation and spectral regression for robust subspace learning, Knowledge-Based Systems, 2020, 195(5): 105723

    25. Yameng An(#), Feiwei Qin, Baiping Chen, Rene Simon, Huifeng Wu(*), OntoPLC: Semantic Model of PLC Programs for Code Exchange and Software Reuse, IEEE Transactions on Industrial Informatics, 2020

    26. Yong Peng(#)(*), Yikai Zhang , Feiwei Qin, Wanzeng Kong, Joint non-negative and fuzzy coding with graph regularization for efficient data clustering, Egyptian Informatics Journal, 2020